Automation library · AI assistants

Coach students and generate notes, quizzes, and roadmaps

Started by another system calling it. It calls services over plain HTTP rather than through connectors. It puts Mistral behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 23 steps, 1 branch: large, and worth reading before you trust it with anything live.

LargeCalls a model: MistralRetrieval

Download free
23 stepsLarge: read it before trusting it with anything live
1Branch: places the flow splits
0Loops or waits
0Services by connector: it calls them over plain HTTP

The flow

Starts it 6Model 11Logic 5Service 1

The steps in the order they run, from what starts it.

  1. 1Skillora AI WebhookWebhookStarts it
  2. 2Mistral Chat Model for NotesLm Chat Mistral CloudModel
  3. 3Parse Structured Output for NotesOutput Parser StructuredModel
  4. 4Fetch YouTube VideosHttp RequestService
  5. 5Process YouTube API DataCodeLogic
  6. 6Mistral Chat Model for QuizLm Chat Mistral CloudModel
  7. 7Mistral Chat Model for RoadmapLm Chat Mistral CloudModel
  8. 8Parse Structured Output for RoadmapOutput Parser StructuredModel
  9. 9Mistral Chat Model for CoachingLm Chat Mistral CloudModel
  10. 10Persist Chat in PostgresMemory Postgres ChatModel
  11. 11Route by Request TypeSwitchLogic
  12. 12Notes Creation AgentAgentModel
  13. 13Respond with YouTube DataRespond To WebhookStarts it
  14. 14Quiz Creation AgentAgentModel
  15. 15Roadmap Creation AgentAgentModel
  16. 16Coaching AgentAgentModel
  17. 17Prepare Roadmap DataSetLogic
  18. 18Prepare Session DataSetLogic
  19. 19Respond with Generated NotesRespond To WebhookStarts it
  20. 20Process Quiz DataCodeLogic
  21. 21Respond with RoadmapRespond To WebhookStarts it
  22. 22Respond with Coaching DataRespond To WebhookStarts it
  23. 23Respond with Quiz ResultsRespond To WebhookStarts it

How it's built

Starts on
Another system calling it
Steps
23, with 1 branch
Size
Large: read it before trusting it with anything live
Connects to
Nothing by connector; it calls services over plain HTTP
Model
Mistral
Retrieval
Answers are drawn from documents you supply, not from the model alone

Questions

What does it need to run?

An n8n account, and a key for Mistral. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls Mistral. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 23 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

Before you run it

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 23 steps before you point it at anything that matters.